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06/24/2023
Open-Set RF Fingerprinting via Improved Prototype Learning
Deep learning has been widely used in radio frequency (RF) fingerprintin...
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06/24/2023
Radio Generation Using Generative Adversarial Networks with An Unrolled Design
As a revolutionary generative paradigm of deep learning, generative adve...
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04/28/2023
Semi-Supervised RF Fingerprinting with Consistency-Based Regularization
As a promising non-password authentication technology, radio frequency (...
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04/01/2023
Two Variants of Bezout Subresultants for Several Univariate Polynomials
In this paper, we develop two variants of Bezout subresultant formulas f...
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03/15/2023
Communication-Efficient Design for Quantized Decentralized Federated Learning
Decentralized federated learning (DFL) is a variant of federated learnin...
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12/07/2022
Generalized Companion Subresultants of Several Univariate Polynomials in Newton Basis
In this paper, the concept of companion subresultant for polynomials in ...
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09/19/2022
Data-driven and machine-learning based prediction of wave propagation behavior in dam-break flood
The computational prediction of wave propagation in dam-break floods is ...
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01/24/2022
A Two-phase Recommendation Framework for Consistent Java Method Names
In software engineering (SE) tasks, the naming approach is so important ...
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01/21/2022
An empirical study on Java method name suggestion: are we there yet?
A large-scale evaluation for current naming approaches substantiates tha...
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01/25/2021
Blind Diagnosis for Millimeter-wave Massive MIMO Systems
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) s...
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11/03/2020
Machine Learning Framwork for Performance Anomaly in OpenMP Multi-Threaded Systems
Some OpenMP multi-threaded applications increasingly suffer from perform...
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11/03/2020
Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems
This paper presents a novel heartbeat diagnosis regarding performance an...
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09/30/2020
Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO
Time-division-duplexing massive multiple-input multiple-output (MIMO) sy...
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11/01/2019
Robust Federated Learning with Noisy Communication
Federated learning is a communication-efficient training process that al...
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06/15/2019
An End-to-End Block Autoencoder For Physical Layer Based On Neural Networks
Deep Learning has been widely applied in the area of image processing an...
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04/08/2018
TCP Decoupling for Next Generation Communication System
In traditional networks, interfaces of network nodes are duplex. But, em...
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03/01/2018